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Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer
BACKGROUND: The rapidly expanding arsenal of chemotherapeutic agents approved in the past 5 years represents significant progress in the field. However, this poses a challenge for oncologists to choose which drug or combination of drugs is best for any individual. Because only a fraction of patients...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097425/ https://www.ncbi.nlm.nih.gov/pubmed/27814715 http://dx.doi.org/10.1186/s12885-016-2886-9 |
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author | Amin, Shahil Bathe, Oliver F. |
author_facet | Amin, Shahil Bathe, Oliver F. |
author_sort | Amin, Shahil |
collection | PubMed |
description | BACKGROUND: The rapidly expanding arsenal of chemotherapeutic agents approved in the past 5 years represents significant progress in the field. However, this poses a challenge for oncologists to choose which drug or combination of drugs is best for any individual. Because only a fraction of patients respond to any drug, efforts have been made to devise strategies to personalize care. The majority of efforts have involved development of predictive biomarkers. While there are notable successes, there are no predictive biomarkers for most drugs. Moreover, predictive biomarkers enrich the cohort of individuals likely to benefit; they do not guarantee benefit. MAIN TEXT: There is a need to devise alternate strategies to tailor cancer care. One alternative approach is to enhance the current adaptive approach, which involves administration of a drug and cessation of treatment once progression is documented. This currently involves radiographic tests for the most part, which are expensive, inconvenient and imperfect in their ability to categorize patients who are and are not benefiting from treatment. A biomarker approach to categorizing response may have advantages. CONCLUSION: Herein, we discuss the state of the art on treatment response assessment. While the most mature technologies for response assessment involve radiographic tests such as CT and PET, reports are emerging on biomarkers used to monitor therapeutic efficacy. Potentially, response biomarkers represent a less expensive and more convenient means of monitoring therapy, although an ideal response biomarker has not yet been described. A framework for future response biomarker discovery is described. |
format | Online Article Text |
id | pubmed-5097425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50974252016-11-08 Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer Amin, Shahil Bathe, Oliver F. BMC Cancer Review BACKGROUND: The rapidly expanding arsenal of chemotherapeutic agents approved in the past 5 years represents significant progress in the field. However, this poses a challenge for oncologists to choose which drug or combination of drugs is best for any individual. Because only a fraction of patients respond to any drug, efforts have been made to devise strategies to personalize care. The majority of efforts have involved development of predictive biomarkers. While there are notable successes, there are no predictive biomarkers for most drugs. Moreover, predictive biomarkers enrich the cohort of individuals likely to benefit; they do not guarantee benefit. MAIN TEXT: There is a need to devise alternate strategies to tailor cancer care. One alternative approach is to enhance the current adaptive approach, which involves administration of a drug and cessation of treatment once progression is documented. This currently involves radiographic tests for the most part, which are expensive, inconvenient and imperfect in their ability to categorize patients who are and are not benefiting from treatment. A biomarker approach to categorizing response may have advantages. CONCLUSION: Herein, we discuss the state of the art on treatment response assessment. While the most mature technologies for response assessment involve radiographic tests such as CT and PET, reports are emerging on biomarkers used to monitor therapeutic efficacy. Potentially, response biomarkers represent a less expensive and more convenient means of monitoring therapy, although an ideal response biomarker has not yet been described. A framework for future response biomarker discovery is described. BioMed Central 2016-11-05 /pmc/articles/PMC5097425/ /pubmed/27814715 http://dx.doi.org/10.1186/s12885-016-2886-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Amin, Shahil Bathe, Oliver F. Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title | Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title_full | Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title_fullStr | Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title_full_unstemmed | Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title_short | Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
title_sort | response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097425/ https://www.ncbi.nlm.nih.gov/pubmed/27814715 http://dx.doi.org/10.1186/s12885-016-2886-9 |
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